Kyosuke Nakata

63 total papers · 480 total citations
37 papers, 346 citations indexed

About

Kyosuke Nakata is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Physiology. According to data from OpenAlex, Kyosuke Nakata has authored 37 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 14 papers in Oncology and 8 papers in Physiology. Recurrent topics in Kyosuke Nakata's work include Lung Cancer Treatments and Mutations (7 papers), Asthma and respiratory diseases (6 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). Kyosuke Nakata is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Asthma and respiratory diseases (6 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). Kyosuke Nakata collaborates with scholars based in Japan, United States and Australia. Kyosuke Nakata's co-authors include Yoshihiro Nishimura, Kazuyuki Kobayashi, Motoko Tachihara, Masatsugu Yamamoto, Tatsuya Nagano, Daisuke Tamura, Tatsunori Kiriu, Masahiro Katsurada, Daisuke Hazama and Yasuhiro Funada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Annals of Oncology.

In The Last Decade

Kyosuke Nakata

36 papers receiving 340 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kyosuke Nakata 183 123 64 46 45 37 346
Masahiro Katsurada 194 1.1× 172 1.4× 77 1.2× 46 1.0× 32 0.7× 29 384
Yuichi Terado 126 0.7× 106 0.9× 103 1.6× 51 1.1× 63 1.4× 27 365
Yasuyoshi Sato 102 0.6× 183 1.5× 74 1.2× 75 1.6× 38 0.8× 45 373
J. Luna 118 0.6× 97 0.8× 79 1.2× 15 0.3× 25 0.6× 23 316
Grillo Ruggieri F 145 0.8× 123 1.0× 30 0.5× 19 0.4× 43 1.0× 33 333
Yuichiro Kai 212 1.2× 105 0.9× 71 1.1× 19 0.4× 20 0.4× 28 372
Nausicaa Malissen 127 0.7× 194 1.6× 75 1.2× 72 1.6× 30 0.7× 26 348
Whitney S. Brandt 205 1.1× 75 0.6× 77 1.2× 23 0.5× 10 0.2× 29 309
Masao Edagawa 152 0.8× 91 0.7× 67 1.0× 40 0.9× 10 0.2× 24 351
Šárka Svobodová 61 0.3× 131 1.1× 75 1.2× 27 0.6× 30 0.7× 27 298

Countries citing papers authored by Kyosuke Nakata

Since Specialization
Citations

This map shows the geographic impact of Kyosuke Nakata's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kyosuke Nakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyosuke Nakata more than expected).

Fields of papers citing papers by Kyosuke Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyosuke Nakata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kyosuke Nakata. The network helps show where Kyosuke Nakata may publish in the future.

Co-authorship network of co-authors of Kyosuke Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Kyosuke Nakata. A scholar is included among the top collaborators of Kyosuke Nakata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyosuke Nakata. Kyosuke Nakata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026